Selection of Hybrid Color Space for Skin Detection Based on Feature Selection Method

doi:10.13190/j.jbupt.2017-184

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2018, Vol. 41 ›› Issue (1): 24-30.doi: 10.13190/j.jbupt.2017-184

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Selection of Hybrid Color Space for Skin Detection Based on Feature Selection Method

LIU Xin-hua¹, ZHAO Zi-qian¹, KUANG Hai-lan¹, MA Xiao-lin¹, LI Fang-min²

1. School of Information Engineering, Wuhan University of Technology, Wuhan 430070, China;
2. Department of Mathematics and Computer Science, Changsha University, Changsha 410022, China

Received:2017-08-30 Online:2018-02-28 Published:2018-01-04

Abstract

Abstract: To solve the problem of selecting appropriate color space for skin detection, a feature-selection-based method is exploited and two improvements on traditional method are proposed:Firstly, mutual information is used to narrow the feature selection range, then feature subset which produces the best classification accuracy will be selected; Secondly, a variety of possible feature subset initialization schemes are tested, and then choose feature set that reveal the best result. Experimental results and comparative analysis show that the hybrid color spaces obtained by the improved feature selection method have better skin detection performance than traditional color spaces and existing hybrid color spaces.

Key words: skin detection, optimal feature space, hybrid color space, mutual information, feature selection

CLC Number:

TP18

LIU Xin-hua, ZHAO Zi-qian, KUANG Hai-lan, MA Xiao-lin, LI Fang-min. Selection of Hybrid Color Space for Skin Detection Based on Feature Selection Method[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2018, 41(1): 24-30.

References

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Selection of Hybrid Color Space for Skin Detection Based on Feature Selection Method

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